This README.txt file was generated on 2024-08-08 by Stacey Hendriks.

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Dataset description
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// Title of dataset: Supplemental Material for: Case studies investigating the epidemiology of hyperketonemia in grazing dairy cows in early lactation: Incidence, prevalence, and time to resolution of hyperketonemia
// DOI: https://doi.org/10.7910/DVN/QOMTI7
// Contact information: 
	Name: Stacey Hendriks
	Institution: DairyNZ Ltd, Lincoln 7608, New Zealand
	Email: stacey.hendriks@dairynz.co.nz

// Authors: See metadata field Author.
// Description: See metadata field Description.
// Date of data generation: See metadata field Production Date.
// Kind of data: See metadata field Kind of Data.
// Software used to generate the datasest: See metadata field Software.
 
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Dataset sharing/access information
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// Licenses: See Terms tab, metadata field Terms of Use.
// Links to publications that cite or use the data: See metadata field Related Publication.
// Recommended citation: See citation for data set record generated by Repository.

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File overview
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// File List: 

01_Abbreviations.pdf
Short descriptions: This file contains abbreviations both author-defined and standard abbreviations used by the Journal of Dairy Science referenced in the Supplemental Materials.

02_Supplemental_Figures.pdf
Short description: This file contains 4 figures, with captions, that are referred to within the manuscript as Supplemental Figure S1 to Supplemental Figure S4. 

03_Supplemental_Tables.pdf
Short description: This file contains 1 table, with caption, that is referred to within the manuscript as Supplemental Table S1. 
It also reports the associations among farms and cow-level factors that were included in the study reported within the manuscript.  

<Acknowledgements. This README file template is adapted from the following documents/resources:

Cornell University. Guide to writing "readme" style metadata. Available at: https://data.research.cornell.edu/content/readme#bestpractices

DataverseNO. info:DataverseNO. Deposit Guidelines. Prepare your data. How to describe your data. Available at: https://site.uit.no/dataverseno/deposit/prepare/

Federated Research Data Repository. Preparing your data files. Available at: https://www.frdr-dfdr.ca/docs/en/preparing_your_data/>